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» Load estimation and control using learned dynamics models
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PERCOM
2007
ACM
14 years 7 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian
CCGRID
2008
IEEE
14 years 2 months ago
Admission Control in a Computational Market
We propose, implement and evaluate three admission models for computational Grids. The models take the expected demand into account and offer a specific performance guarantee. Th...
Thomas Sandholm, Kevin Lai, Scott H. Clearwater
RSS
2007
135views Robotics» more  RSS 2007»
13 years 9 months ago
Learning omnidirectional path following using dimensionality reduction
Abstract— We consider the task of omnidirectional path following for a quadruped robot: moving a four-legged robot along any arbitrary path while turning in any arbitrary manner....
J. Zico Kolter, Andrew Y. Ng
CDC
2008
IEEE
217views Control Systems» more  CDC 2008»
13 years 8 months ago
An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices
Traffic state estimation is a challenging problem for the transportation community due to the limited deployment of sensing infrastructure. However, recent trends in the mobile pho...
Daniel B. Work, Olli-Pekka Tossavainen, Sebastien ...
ICML
2008
IEEE
14 years 8 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih